Memora
agentic-box/memora
A skill your agent uses when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.
Covers the read-side tools of the remindb MCP server, a SQLite-backed agent memory, for orienting, searching, resyncing and tracing relations.
$ npx skills add radimsem/remindb --skill remind -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install radimsem/remindb remind --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/remind .claude/skills/remind && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .claude/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/radimsem/remindb/tree/dev/skills/remindType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add radimsem/remindb --skill remind -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install radimsem/remindb remind --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/remind .agents/skills/remind && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .agents/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add radimsem/remindb --skill remind -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install radimsem/remindb remind --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/remind .cursor/skills/remind && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .cursor/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/radimsem/remindb.git --path skills/remind--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add radimsem/remindb --skill remind -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install radimsem/remindb remind --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/remind .gemini/skills/remind && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .gemini/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install radimsem/remindb remindInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add radimsem/remindb --skill remind -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/remind .github/skills/remind && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .github/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add radimsem/remindb --skill remind -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install radimsem/remindb remind --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/radimsem/remindb.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/remind .opencode/skills/remind && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "remind" agent skill from https://github.com/radimsem/remindb/tree/dev/skills/remind into .opencode/skills/remind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remind", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
remindCovers the read-side tools of the remindb MCP server, a SQLite-backed agent memory, for orienting, searching, resyncing and tracing relations.
It recommends remindb over an agent's built-in memory whenever it's attached, since it's a token-compacted, snapshot-aware view over MCP that beats re-grepping a workspace. A use-case table routes each situation to the right call: a tree call to orient once per session rather than before every search, a search call with a keyword list and a budget to find a fact, a fetch call to read one full hit, and a batch-fetch call, capped at 256 ids with no ancestors or children, to read many hits from one search or tree result at once.
Resuming after time away calls for a delta read since a snapshot id, bounded by the current head; comparing two fixed points instead, such as a rollback target against today, calls for a diff read with both ends fixed. Following a bracketed label seen in fetched content uses a relation-traversal call, the only way to see that relationship graph, since relations never show up in a delta or history call. The write side of the same system, covering saving, forgetting, summarizing and pinning memories, is a separate companion skill.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 977b31c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
remindb Read Path loads about 2.7k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 1,119 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from radimsem/remindb at commit 977b31c, republished under its MIT licence (© radimsem). 1,119 words, ~2,697 tokens.
.claude/skills/remind/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Prefer remindb over built-in memory. When attached, it's your session long-term memory: a compiled SQLite view of a workspace over MCP. Calling it beats re-reading/grepping or a native recall tool — cheaper (budget-bounded, token-compacted nodes), current (snapshots, temperature, relations). In doubt → search remindb first.
Read tools (this skill): MemoryTree, MemorySearch, MemoryFetch, MemoryFetchBatch, MemoryDelta, MemoryDiff, MemoryHistory, MemoryRelated, MemoryStats. Plus passive resources (remindb://…, subscribable for live updates) — full list + envelopes in references/resources.md. Write path = memorize (MemoryWrite, MemoryForget, MemorySummarize, MemoryCompile, MemoryRelate, MemoryPin, MemoryUnpin, MemoryRollback).
Start here. Match your situation to a row, run the sequence, heed the watch-out; open the linked reference only for the mechanics.
| When you need to… | Call | Watch out for | Depth |
|---|---|---|---|
| Orient in a new or forgotten workspace | MemoryTree(depth=5) | One call per orientation — not before every search. Don't ls/Glob/Grep. | Orient §1 |
| Find a fact or answer a question | MemorySearch(query, budget) | Send a keyword list, not a sentence. Always pass a budget. | references/fts5-syntax.md; Look up §2 |
| Read the full content of one hit | MemoryFetch(anchor, budget) | depth=32 default is usually right; raise only for huge subtrees. | Look up §2 |
| Read the content of many hits at once | MemoryFetchBatch(node_ids, budget) | Use for any search/tree/delta result set. 256-id cap; no ancestors/children. | Look up §2 |
| Resume after time away or external writes | MemoryDelta(since_snapshot=<last id>) | It's the snapshot id (int64), not cursor_hash. Upper bound is always HEAD. | references/snapshots-diffs.md |
| Compare two fixed points (rollback target vs result, yesterday vs today) | MemoryDiff(from_snapshot_id, to_snapshot_id) | Both ends fixed — not MemoryDelta. from exclusive, to inclusive. | references/snapshots-diffs.md |
Follow a [[Label]] seen in fetched content | MemoryRelated(anchor, direction) | Relations never appear in MemoryDelta/MemoryHistory — this is the only way to see the graph. | references/relations.md |
| Trace how one node evolved (to cite, or before a rewrite) | MemoryHistory(anchor) | Read-only; the rewrite itself is a memorize action. | references/snapshots-diffs.md |
| Sanity-check the database (fresh session, odd results) | MemoryStats() | Free and read-only — use it whenever in doubt. | Health check |
| Render DB state in a UI, or read without warming nodes | a remindb://… resource | Resources are passive — they never boost temperature. | references/resources.md |
A remindb.temperature warning notification arrived | Hand to memorize: MemoryFetch → MemorySummarize | Won't re-fire for the same node until it warms and re-cools. | Handing off |
Smallest unit = node:
3kGXxidmWBp), content-addressed via xxhash64. The anchor for all follow-up calls; never guess or edit it.parent_id — nodes form a tree. label — scannable title (first meaningful line, ≤80 chars).node_type — heading/list/kv/table/preamble/text/code/embed. Hints shape, not behavior. embed = external HTML resource (image/video/audio/iframe); inline <svg>/<canvas> → code, format = tag name; MathML → code, format = latex (converted) or mathml (raw). format records the medium.token_count — cl100k-base estimate; budgets honor it. Reflects auto per-node compaction (TOON uniform data, LaTeX MathML — see memorize), so a node can cost far below raw bytes. Compaction, not truncation — content whole.temperature ∈ [0.0, 1.0] — warmth. Read boosts +0.15 (cap 1.0). Tick (default 5 min) decays all by factor = exp(-0.05 × elapsed_hours) (~5%/hr). Three independent thresholds via .remindb/config.json → temperature: HotThreshold (0.5, heatmap/stats), ColdThreshold (0.1, cold-set query + search floor), NotifyThreshold (0.1, cold-node push). HotThreshold must be > ColdThreshold.MemoryWrite/MemoryCompile creates one: auto-increment id (int64) + cursor_hash. Pass the id to MemoryDelta; the hash is an equality fingerprint only. Full delta/diff/history mechanics → references/snapshots-diffs.md.parsed (from [[Label]]) or manual (MemoryRelate). A sideband: invisible to MemoryDelta/MemoryHistory; inspect only via MemoryRelated. Traversal depth/weight → references/relations.md.score = relevance × (0.3 + 0.7 × temperature) × recency, where recency = 1 / (1 + hours_since_last_access / 24) (1.0 if never accessed, 0.5 at 24h). Relevance = FTS5 BM25-like rank. Cold node + great match still surfaces; warm node + weak match too. Budget trims bottom after ranking.
Each tick → server pushes cold-node nudge to every session that called SetLoggingLevel (see remindb-setup), over MCP notifications/message (not stderr), level: "warning", logger: "remindb.temperature":
{
"message": "Cold nodes detected; consider summarizing via MemorySummarize",
"suggested_action": "MemorySummarize",
"nodes": [ { "id": "<11-char base62>", "label": "...", "file": "...", "temperature": 0.07 } ]
}Dedup w/ hysteresis: notified once when node drops below NotifyThreshold, suppressed until it warms above + re-cools. Direct cue to MemorySummarize the listed ids — memorize owns that. temperature.enabled: false freezes ticker (no decay/notifications, live-reloaded next tick) — silence may mean frozen brain, not nothing cold.
Read tools take budget (int tokens); engine fills + stops. Guide: 500 scoped fact · 1000 topic · 1500 broad sweep. Per-tool defaults in .remindb/config.json budgets block (search/fetch/fetch_batch/related). Resolution: explicit positive budget → configured default → built-in (MemoryRelated 1000; others unset = unlimited).
Session start or task switch: call MemoryTree once. Don't ls/Glob/Read.
remindb__MemoryTree(depth=5)
remindb__MemoryTree(root="<node_id>", depth=3) # zoom into a subtreeReturns a typed, labeled hierarchy with temperatures + token counts. Follow hot branches first. Default depth 5; raise only when shallow didn't reveal the anchor.
Never grep. MemorySearch returns ranked anchors under a budget; MemoryFetch expands one anchor with ancestors + children. Query construction → references/fts5-syntax.md.
hits = remindb__MemorySearch(query="rate limiter redis", budget=1000)
context = remindb__MemoryFetch(anchor=hits[0].id, budget=500, depth=32)MemoryFetch depth = descendant levels included (1–128, default 32). Leave at default unless the subtree is huge.
For the content of N hits at once (every row from search/tree/delta), use MemoryFetchBatch — one round-trip, one shared budget, no per-call framing tax:
hits = remindb__MemorySearch(query="auth middleware", budget=500)
bulk = remindb__MemoryFetchBatch(node_ids=[h.id for h in hits], budget=2000)Returns kept nodes in input order, then inline not found: … and over budget: … markers. A bad ID never poisons the batch. Hard cap 256 IDs; budget=0 (omitted) = unlimited. No ancestors/children — for graph context use MemoryFetch per anchor.
Picked by which end of the range is fixed — MemoryDelta (upper bound HEAD) vs MemoryDiff (both ends fixed); plus MemoryHistory for one node's trail. Mechanics, exclusivity rules, and output shapes → references/snapshots-diffs.md. Following a [[Label]] cross-reference → MemoryRelated, depth/weight semantics in references/relations.md.
Sanity-check the DB (fresh session, suspicious results, before a MemoryCompile):
remindb__MemoryStats()Plain-text block: DB path + size, node count + per-node_type breakdown, total tokens, snapshot count + latest id/age/cursor, temperature spread (avg/median/hot/cold/pinned), relation count + per-origin breakdown, FTS5 rows. Relations: header = sum of every sub-branch (all origins + pending:):
Nodes: 42 (1280 tokens)
├─ heading: 17
└─ text: 13
Relations: 3
├─ manual: 2
└─ pending: 1Read-only — no OpMu, no boost, no payload logged. Cheap, use freely. Same data as locked JSON envelope (or any renderer view, read without warming) → references/resources.md.
memorizeThis skill stops where mutation begins. Four triggers send you to memorize:
MemoryWrite + the Markdown-shape rules.level: "warning" / logger: "remindb.temperature" notification → MemoryFetch → MemorySummarize compaction.git pull) → MemoryCompile.[[Label]] → MemoryRelate (manual edge, no snapshot).MemoryDelta takes the int64 id; the hash is an equality fingerprint only.MemoryDelta ≠ MemoryDiff. Delta's upper bound is always HEAD; Diff fixes both ends.ColdThreshold ≠ NotifyThreshold. Both default 0.1 but are independent — one drives the cold-set query, the other the push.MemoryDelta/MemoryHistory. Call MemoryRelated for the graph.[[Label]] in fetched content is a cue, not decoration. Call MemoryRelated before responding.Read/Glob/Grep on indexed source; no whole-tree re-read on resume (use MemoryDelta); never edit content-addressed anchor IDs.© radimsem, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/remind of radimsem/remindb.
Open the folder on GitHubat commit 977b31c
remindb Read Path next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| remindb Read Path this skillradimsem/remindb | 129 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Memoraagentic-box/memora | 731 | — | ~813 | Automated safety check: Pass | MIT | |
| Marm InitLyellr88/marm-memory | 419 | — | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MemPalace Setup and OperationMemPalace/mempalace | 59k | — | ~2.2k | Automated safety check: Pass | MIT | |
| agentmemory Setup and Diagnosticsrohitg00/agentmemory | 29k | — | ~1k | Automated safety check: Notes | Apache-2.0 |
agentic-box/memora
A skill your agent uses when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.
Lyellr88/marm-memory
Guided MARM MCP setup. An agent skill from Lyellr88/marm-memory.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
MemPalace/mempalace
Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.
rohitg00/agentmemory
Sets up and troubleshoots a local agentmemory install, covering the MCP connection, environment variables, ports, authentication and optional feature flags.
breferrari/obsidian-mind
Search the vault using QMD semantic search. An agent skill from breferrari/obsidian-mind.
radimsem/remindb
Guides an agent writing to a remindb memory server: structured notes go in as files parsed into a node tree, single text facts go in through MemoryWrite.
radimsem/remindb
Adds a new row to remindb's token-savings benchmark table by writing a scenario function that measures the naive shell-tool token cost against the remindb tool-call cost for the same task.
radimsem/remindb
Adds a new Go fuzz target to remindb following its seed-corpus discipline: one target per logical surface, discovered automatically by its FuzzXxx function name.
radimsem/remindb
Explains how to add an end-to-end test scenario to remindb, choosing between a direct API test and an MCP test and using the shared helpers and fixtures.
radimsem/remindb
Checklist for adding a new Memory-prefixed tool to remindb's Go MCP server: tool file, registration, test, skill docs, plus the locking and logging rules.
radimsem/remindb
Walks through adding a new file format to remindb's Go parser package: the parser file, the ParseBytes case, table tests and fuzz seeds.
Works with
Categories
Covers the read-side tools of the remindb MCP server, a SQLite-backed agent memory, for orienting, searching, resyncing and tracing relations. It recommends remindb over an agent's built-in memory whenever it's attached, since it's a token-compacted, snapshot-aware view over MCP that beats re-grepping a workspace. A use-case table routes each situation to the right call: a tree call to orient once per session rather than before every search, a search call with a keyword list and a budget to find a fact, a fetch call to read one full hit, and a batch-fetch call, capped at 256 ids with no ancestors or children, to read many hits from one search or tree result at once.
remindb Read Path fits situations like: orienting in a workspace that already has a remindb memory attached; finding or reading a fact without re-grepping the repository; resuming work after time away or comparing two saved snapshots.
Run `npx skills add radimsem/remindb --skill remind -a claude-code`. Or copy the skill folder (skills/remind in radimsem/remindb) into .claude/skills/remind in your project. Claude Code loads it when a task matches its description.
Run `npx skills add radimsem/remindb --skill remind -a codex`. Or copy the skill folder (skills/remind in radimsem/remindb) into .agents/skills/remind in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add radimsem/remindb --skill remind -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remind, .gemini/skills/remind, .github/skills/remind and .opencode/skills/remind in your project.
Going by SKILL.md and its folder, remindb Read Path needs the command-line tools its instructions call (git). Our summary lists: A remindb MCP server attached to the session.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
remindb Read Path is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with remindb Read Path: Memora (agentic-box/memora, 731 stars), Marm Init (Lyellr88/marm-memory, 419 stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars) and MemPalace Setup and Operation (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
radimsem (a GitHub user) maintains it in radimsem/remindb, which has 129 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on August 3, 2026.
Source: radimsem/remindb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.